APA (7th ed.) Citation

L, L., X, Z., W, C., Y, L., T, L., G, Y., . . . J, Z. (2023). Combining radiomics and deep learning features of intra-tumoral and peri-tumoral regions for the classification of breast cancer lung metastasis and primary lung cancer with low-dose CT. Journal of cancer research and clinical oncology, 149(17), 15469. https://doi.org/10.1007/s00432-023-05329-2

Chicago Style (17th ed.) Citation

L, Li, Zhou X, Cui W, Li Y, Liu T, Yuan G, Peng Y, and Zheng J. "Combining Radiomics and Deep Learning Features of Intra-tumoral and Peri-tumoral Regions for the Classification of Breast Cancer Lung Metastasis and Primary Lung Cancer with Low-dose CT." Journal of Cancer Research and Clinical Oncology 149, no. 17 (2023): 15469. https://doi.org/10.1007/s00432-023-05329-2.

MLA (9th ed.) Citation

L, Li, et al. "Combining Radiomics and Deep Learning Features of Intra-tumoral and Peri-tumoral Regions for the Classification of Breast Cancer Lung Metastasis and Primary Lung Cancer with Low-dose CT." Journal of Cancer Research and Clinical Oncology, vol. 149, no. 17, 2023, p. 15469, https://doi.org/10.1007/s00432-023-05329-2.